paper
2022
Local & station forecasting
Climate analysis & attribution Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2022-12-02
004
Dec 2022
Roshani, Haroon Sajjad, Tamal Kanti Saha et al.
Acta Geophysica
Random forest forecasts and non-parametric trend tests for rainfall and temperature at one Indian tiger reserve; no abstract provided, so scope is limited to local station climate.
Analyzing trend and forecast of rainfall and temperature in Valmiki Tiger Reserve, India, using non-parametric test and random forest machine learning algorithm
In one sentence. Random forest forecasts and non-parametric trend tests for rainfall and temperature at one Indian tiger reserve; no abstract provided, so scope is limited to local station climate.
Labels
- Topic
- Local & station forecasting, Climate analysis & attribution
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1007/s11600-022-00978-2 OpenAlex:W4311098408
- Added
- 2026-10-22
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